Machine learning decodes chemical features to identify novel agonists of a moth odorant receptor.

MLA

Caballero-Vidal, Gabriela, et al. “Machine Learning Decodes Chemical Features to Identify Novel Agonists of a Moth Odorant Receptor.” Scientific Reports, vol. 10, no. 1, Feb. 2020, p. 1655. EBSCOhost, https://doi.org/10.1038/s41598-020-58564-9.

APA

Caballero-Vidal, G., Bouysset, C., Grunig, H., Fiorucci, S., Montagné, N., Golebiowski, J., & Jacquin-Joly, E. (2020). Machine learning decodes chemical features to identify novel agonists of a moth odorant receptor. Scientific Reports, 10(1), 1655. https://doi.org/10.1038/s41598-020-58564-9

Chicago

Caballero-Vidal, Gabriela, Cédric Bouysset, Hubert Grunig, Sébastien Fiorucci, Nicolas Montagné, Jérôme Golebiowski, and Emmanuelle Jacquin-Joly. 2020. “Machine Learning Decodes Chemical Features to Identify Novel Agonists of a Moth Odorant Receptor.” Scientific Reports 10 (1): 1655. doi:10.1038/s41598-020-58564-9.